Transforming the traditional data warehouse into an efficient unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book prepares you to successfully implement an unstructured data warehouse, and helps you learn various techniques and tips [...]
Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). [...]
Explains the groundwork necessary for IT to really support the business properly. This book helps businesses capture corporate knowledge and unstructured data, and offer solutions for codifying it for use in IT and management. It includes sample unstructured metadata for use in self-testing and deve[...]
Looks at the overall architecture and delves into the issues underlying the components of Data Warehousing. This book provides comprehensive coverage of the implementation of technology and tools that enable the new generation of the DW: metadata, temporal data, ETL, unstructured data, and data qual[...]
Building the Data Warehouse provides a high-level, conceptual overview of the major components of data warehouse systems, as well as the core approaches used to design and build data warehouses. In this 4th edition, the author covers the latest developments in data warehousing, often development[...]